Live Webinar November 2nd, 2017 1:00 PM – 2:00 PM EDT
Activity Type: Education – Course or Training  1 Hour  1 PDU free
Provider: O’Reilly

As more organizations have come to rely on big data, the data lake has held the promise of a flexible, scalable, integration point.

Unfortunately, this very “flexibility” has made it easy to “pollute” the data lake with duplicate, stale, incomplete, and even wrong data.

As a result, there is more data overall, but less reliability in its value. Add to this a lack of organization, governance, and security, and data lakes become a barrier to analytics and operations that rely on the data.

Fortunately, your investment in a data lake doesn’t need to be considered a waste.

In this O’Reilly webcast, Damon Feldman, solutions director at MarkLogic, will discuss how an operational data hub can be combined with the data lake — maintaining the agile, flexible functions that are characteristic of a lake, with the added ability for fast, secure, governed data access.

Learn how an operational data hub can utilize a Hadoop-friendly, multi-model database, without reducing it to relational structures and applying ETL transformations.

Learn how to:

• Facilitate progressive transformation and mastering of data as operational data needs change.
• Provide real-time, operational data access through strong indexing
• Make sense of the data lake — in an iterative fashion.
• React to events that occur in the data hub, such as updates to mastered data elements.
• Secure a portion of a data lake’s data in a data hub, to conform to internal security policies and regulatory

Presenter: Damon Feldman PhD (LinkedIn profile) is a passionate “Mark-Logician,” having been with the company for over 7 years. Damon has led projects with volumes of data and complexities of implementation, for customers ranging from the US Intelligence Community to HealthCare and private insurance companies. Prior to joining MarkLogic, Damon held positions spanning product development  and led the architecture for the IMSMA humanitarian landmine remediation and tracking system. Damon holds a Bachelor’s Degree in Mathematics from the University of Chicago and a Ph.D. in Computer Science from Tulane University.

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Cleaning Up Your Enterprise Data Architecture

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